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Document Details :

Title: Bounded Relative Error Importance Sampling and Rare Event Simulation
Author(s): MCLEISH, Don L.
Journal: ASTIN Bulletin
Volume: 40    Issue: 1   Date: 2010   
Pages: 377-398
DOI: 10.2143/AST.40.1.2049235

Abstract :
We consider estimating tail events using exponential families of importance sampling distributions. When the cannonical sufficient statistic for the exponential family mimics the tail behaviour of the underlying cumulative distribution function, we can achieve bounded relative error for estimating tail probabilities. Examples of rare event simulation from various distributions including Tukey’s g&h distribution are provided.